3.6 Probability as a mathematical tool 概率作为数学工具

From the result (3.75) one may obtain a number of identities obeyed by the binomial coefficients. For example, we may decide not to distinguish between colors 1 and 2; i.e. a ball of either color is declared to have color ‘a’. Then from (3.75) we must have, on the one hand,

从结果(3.75)的二项式系数我们可以得到多个等式。例如,我们可能决定不区分颜色1和2;例如,任选一个球,称其颜色为'a'。然后从(3.75)我们必然有,从一个方面看,

  (3.76)

with

. (3.77)

But the event can occur for any values of satisfying (3.77), and so we must have also, on the other hand,

对任何满足(3.77)的值,事件都可能发生,所以我们从另外一方面看必有,

. (3.78)

Then, comparing (3.76) and (3.78), we have the identity

那么,比较(3.76)和(3.78),得到等式

  . (3.79)

Continuing in this way, we can derive a multitude of more complicated identities obeyed by the binomial coefficients. For example,

如此继续,我们可以根据二项式系数推出多个更复杂的等式。 例如,

  . (3.80)

In many cases, probabilistic reasoning is a powerful tool for deriving purely mathematical results; more examples of this are given by Feller (1950, Chap. 2 & 3) and in later chapters of the present work.

在许多情况下,概率推理是获得纯粹数学结果的有力工具; Feller(1950,第2章和第3章)以及本书后面的章节给出了更多这方面的例子。

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